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How to Use the Freshworks MCP in CrewAI

Deploy autonomous support and sales teams using the Freshworks CrewAI integration.

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Works with every AI agent you already use

…and any MCP-compatible client

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CrewAI

Connect Freshworks MCP to CrewAI

Create your Vinkius account to connect Freshworks to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Assign helpdesk tools to specific MCP agents

Give your tier-one support agent immediate access to the queue using `list_tickets` and `get_ticket`. You can configure a CrewAI monitor agent to poll the helpdesk continuously. When a new issue pops up, it hands the context to a response agent. Combine this with `list_agents` and `list_groups` to build a dispatch system. The AI evaluates the ticket content and autonomously decides which human team needs to take over if the issue requires escalation.

Cross-reference CRM data autonomously

A dedicated MCP agent can map out a customer's entire history with `list_crm_contacts` and `list_helpdesk_contacts`. While one agent handles the chat, the researcher pulls previous interactions and feeds them into the shared memory. This eliminates blind spots. The response agent knows exactly who they are talking to because the background crew already mapped the contact IDs across both systems.

Monitor pipeline health with specialized crews

Build a sales operations crew powered by `list_deals` and `list_accounts`. A financial agent can scan open deals daily through the MCP Server, while a secondary agent checks `list_companies` to verify account details. They operate sequentially. The data gatherer pulls the raw numbers from the server, and the analyst agent writes a daily summary report for your Slack channel. No human intervention required.

Setup guide

Set up Freshworks MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Freshworks tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="Freshworks Analyst",
    goal="Access and analyze Freshworks data via MCP.",
    backstory="Expert analyst with direct Freshworks access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Freshworks transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Freshworks MCP in CrewAI

Install crewai[tools]. You can pass the Vinkius URL directly into your agent definition using the mcps array. The agent will automatically discover all available tools.
Yes. Use MCPServerHTTP from crewai.mcp and apply a tool_filter. This lets you give list_tickets to your support agent while keeping list_deals strictly assigned to your sales agent.
They do. If your researcher agent pulls an account history using list_accounts, that context enters the shared memory pool. The response agent can use those details without making redundant API calls.
The framework supports stdio, SSE, and Streamable HTTP. For remote Vinkius endpoints, HTTP is the standard path.
Only your authenticated client. When an agent calls get_ticket, Vinkius processes the payload inside a locked-down V8 Isolate. The data travels over an encrypted tunnel and the server instance vanishes immediately after the request completes.

Start using the Freshworks MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 9 tools

We've already built the connector for Freshworks. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 9 tools are live and waiting. You're up and running in seconds.

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